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Google launches Gemini Decisions API for fast, calibrated AI choices

By PulseAugur Editorial · [2 sources] ·

Google has launched the Gemini Decisions API, featuring the new Gemini Decision 1 model, designed for rapid, closed-set decision-making. This API processes multimodal inputs and evaluates up to 1,000 questions in a single pass, returning probabilities and confidence scores with low latency and zero output token costs. It aims to streamline agent functions like tool selection and policy checks, offering improved calibration and cost-efficiency compared to traditional generative models. AI

IMPACT This specialized API could accelerate agent development by providing faster, more reliable decision-making primitives for tasks like tool selection and routing.

RANK_REASON New model release from a frontier lab (Google AI). [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Hacker News — AI stories ≥50 points →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Google launches Gemini Decisions API for fast, calibrated AI choices

How we ranked this

Signal score
60 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
New model release from a frontier lab (Google AI). [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, product
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High
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [2]

  1. Hacker News — AI stories ≥50 points TIER_1 English(EN) · iamdelirium ·

    Gemini Decisions API

  2. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens

    <p>Google launched the Gemini Decisions API, powered by Gemini Decision 1. It returns calibrated probabilities for up to 1,000 yes/no, choice and rubric questions over text, images, audio, video and PDFs, at $0.10 per 1M input tokens.</p> <p>The post <a href="https://www.marktech…

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